Cross-Generational Knowledge Flows in Edge Organizations: Research in Progress

Abstract : As the graying workforce increases and the work patterns of our younger workers are more mobile, knowledge retention, attrition, and transfer become key determinants of the longevity of an organization. This is particularly true in edge organizations, which thrive on adaptability and agility to survive. In order for workforce development and succession planning to be effective in edge organizations, cross-generational knowledge flows are paramount towards achieving an innovative and agile organization. Very little research has looked at cross-generational knowledge flows, particularly in the context of edge organizations. The focus of the research in progress looks at: (1) examining how cross-generational knowledge flows affect edge organizations in terms of organizational effectiveness and organizational forms, and (2) developing and testing a model to enhance cross-generational knowledge flows in edge organizations.

[1]  Victor Oltra,et al.  Knowledge management effectiveness factors: the role of HRM , 2005, J. Knowl. Manag..

[2]  Sally Sambrook,et al.  Exploring succession planning in small, growing firms , 2005 .

[3]  Mark E. Nissen,et al.  Computational Modeling and Analysis of Networked Organizational Planning in a Coalition Maritime Strike Environment , 2006 .

[4]  Morris Sloman,et al.  Trust Management Tools for Internet Applications , 2003, iTrust.

[5]  Seth Pettie,et al.  Mind the gap , 2006, Nature Reviews Drug Discovery.

[6]  Karl-Erik Sveiby.  Transfer of knowledge and the information processing professions , 1996 .

[7]  Paul Dekker,et al.  Is Volunteering Going Down? , 2006, Globalization, Value Change and Generations.

[8]  Rok Skrinjar,et al.  Organizational Learning Culture - The Missing Link between Business Process Change and Organizational Performance , 2007 .

[9]  Michael A. Hitt,et al.  Leveraging tacit knowledge in alliances: The importance of using relational capabilities to build and leverage relational capital , 2006 .

[10]  N.A.D. Connell,et al.  Narrative approaches to the transfer of organisational knowledge , 2004 .

[11]  Raymond E. Levitt,et al.  Modeling Skill Growth and Decay in Edge Organizations: Near-Optimizing Knowledge and Power Flows (Phase Two) , 2006 .

[12]  Peter Swirski,et al.  Talkin’ ’Bout My Gene-ration , 2019, American Utopia.

[13]  Raymond E. Levitt,et al.  A Computational Framework for Experimentation with Edge Organizations , 2005 .

[14]  Stephen A. Truhon.  Talkin' 'bout my generation. , 2007 .

[15]  David A. Vise.  The Google Story , 2005 .

[16]  Raymond E. Levitt,et al.  Streams of Shared Knowledge: Computational Expansion of Organization Theory , 2006 .

[17]  Thomas P. Lyon,et al.  Spatial Proximity and Complementarities in the Trading of Tacit Knowledge , 2004 .

[18]  Irina Ilovici,et al.  Optimization of organizational knowledge transfer model , 2003, 16th IEEE Symposium Computer-Based Medical Systems, 2003. Proceedings..

[19]  Denis Lahaie,et al.  The impact of corporate memory loss: What happens when a senior executive leaves? , 2005, International journal of health care quality assurance incorporating Leadership in health services.

[20]  Sandra Rothenberg,et al.  Tacit knowledge transfer and the knowledge disconnect , 2006, J. Knowl. Manag..

[21]  N. A. D. Connell,et al.  It's tacit knowledge but not as we know it: redirecting the search for knowledge , 2003, J. Oper. Res. Soc..

[22]  Michael Braun,et al.  Globalization, value change and generations. A cross-national and intergenerational perspective , 2006 .

[23]  Hui Wang,et al.  Enhancing Knowledge Transfer Through Nurturing Cognitive Flexibility , 2006, AMCIS.

[24]  Roland E. Kidwell,et al.  Helping older workers cope with continuous quality improvement , 2003 .

[25]  Daniel Z. Levin,et al.  The Strength of Weak Ties You Can Trust: The Mediating Role of Trust in Effective Knowledge Transfer , 2004, Manag. Sci..

[26]  M. Yamin,et al.  Patterns of knowledge flows and MNE innovative performance , 2004 .

[27]  Douglas J. MacKinnon.  Paper Title: Modeling Skill Growth and Decay in Edge Organizations: Near- Optimizing Knowledge & Power Flows (Phase Two) , 2006 .

[28]  Jon-Arild Johannessen,et al.  Mismanagement of tacit knowledge: the importance of tacit knowledge, the danger of information technology, and what to do about it , 2001, Int. J. Inf. Manag..

[29]  Michael S. Dahl,et al.  Knowledge flows through informal contacts in industrial clusters: myth or reality? , 2004 .

[30]  Adam B. Jaffe,et al.  Do alliances promote knowledge flows , 2006 .

[31]  Richard E. Hayes,et al.  Power to the Edge: Command, Control in the Information Age , 2003 .

[32]  Mark E. Nissen,et al.  Keynote paper: Enhancing organisational metacognition - flow visualisation to make the knowledge network explicit , 2007, Int. J. Netw. Virtual Organisations.

[33]  William P. Anthony,et al.  Tacit Knowledge and Strategic Decision Making , 2002 .

[34]  Wan Hong,et al.  Exploring Edge Organization Models for Network-Centric Operations , 2006 .

[35]  Srilata Zaheer,et al.  The dynamics of knowledge flows: human capital mobility, knowledge retention and change , 2002, J. Knowl. Manag..

[36]  W. Scott.  Organizing on the Edge: Appreciation and Critique , 2006 .

[37]  Mark E. Nissen,et al.  A Computational Approach to Diagnosing Misfits, Inducing Requirements, and Delineating Transformations for Edge Organizations , 2005 .

[38]  Raymond E. Levitt,et al.  Knowledge as Inventory: Near-Optimizing Knowledge and Power Flows in Edge Organizations , 2005 .

[39]  Mark J. Clayton,et al.  Dynamic Knowledge Map: Reusing Experts’ Tacit Knowledge in the AEC Industry , 2004, ACADIA proceedings.

[40]  Raymond E. Levitt,et al.  A Semantic Data Model for Simulating Information Flow in Edge Organizations , 2006 .

[41]  Kok Meng Chang.  The performance of edge organizations in a collaborative task , 2005 .